Curtsy Fashion Resale Scraper

What Curtsy Fashion Resale Scraper can do

• Three ways in. Keyword search, brand or category browse, or paste item, closet and collection links. No need to build URLs by hand.
• List vs retail pricing. Every record carries the list price, the original retail price and the suggested price, so resale margins are computable straight from the dataset.
• Seller trust signals. Seller name, sales and purchase counts, positive rating percentage, response time, time to ship and state, plus seller review entries (rating, date, text) and listing comments.
• Detail depth on demand. Switch the detail record, seller reviews and comments on or off per run, and pay only for what you use.
• Built for schedules. Incremental mode returns only new and changed listings on recurring runs, and a refused run fails loudly instead of returning an empty dataset.
• Full photo sets. Every listing ships the complete photo gallery, not just the cover thumbnail.

Choose what to collect

These inputs let you configure Curtsy Fashion Resale Scraper - Listings, Sellers & Reviews. Open the actor on Apify to enter your values and review the current options.

Fields in the output

The documented dataset includes the fields below. Availability can depend on the source page and selected mode.

Example output

An example from this actor’s documentation. Values are illustrative; this is not a fresh live result.

{
  "id": "Ab12Cd34Ef",
  "title": "Sample Midi Dress",
  "brand": "Sample Brand",
  "category": "Dresses",
  "size": "M",
  "sizeCategory": "women",
  "condition": "Pre-owned",
  "price": 35,
  "retailPrice": 98,
  "suggestedPrice": 40,
  "priceWithFees": 37.75,
  "sold": false,
  "loves": 12,
  "isNWT": false,
  "freeShipping": false,
  "imageUrl": "https://assets.example.com/tr:f-webp,w-180/sample-photo.jpg",
  "imageUrls": [
    "https://assets.example.com/tr:f-webp,w-180/sample-photo.jpg"
  ],
  "numImages": 4,
  "description": "Full seller description text appears here when details are on.",
  "userSizing": "Seller is 5'6\", 130lbs",
  "sellerId": "SampleId2",
  "sellerName": "Seller Name",
  "sellerPositiveRatings": "98%",
  "sellerSales": 22,
  "sellerPurchases": 54,
  "sellerTimeToShip": "2.4 days",
  "postedAt": "2026-01-01T00:00:00.000Z",
  "sellerReviews": [
    {
      "reviewRating": 5,
      "reviewText": "Great seller, fast shipping!",
      "reviewDate": "2026-07-02",
      "reviewerAvatar": "https://assets.example.com/sample-avatar.jpg"
    }
  ],
  "sellerReviewsCount": 27,
  "comments": [],
  "commentsCount": 0,
  "url": "https://curtsyapp.com/item/sample-route/Ab12Cd34Ef",
  "detailUrl": "https://curtsyapp.com/item/sample-route/Ab12Cd34Ef",
  "changeType": "NEW",
  "changedFields": [],
  "firstSeenAt": "2026-01-01T00:00:00.000Z",
  "lastSeenAt": "2026-01-01T00:00:00.000Z"
}

Ways to use this data

• Resale arbitrage and sourcing: track list prices against original retail across brands and categories to find underpriced listings early.
• Market and pricing research: build price histories per brand, category or size for fashion-resale analytics.
• Inventory monitoring: watch a seller's closet or a collection and get only the new or changed listings on each scheduled run.
• Trend and demand analysis: correlate heart counts, review volume and time-on-market by brand, color and category.
• App and dashboard builders: feed clean listing records into your own tooling through the API or MCP connectors.

Before you run

Start with a small input and check the resulting records against your expected fields. Source content and actor options can change; the current Apify listing is the reference for availability and pricing.

Questions about this actor